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| Criterion |  Product Discovery Dual-Track Agile |  Delivery Value Stream Mapping |  Agile NoEstimates |  Engineering Kanban |
|---|---|---|---|---|
Purposedifferent | When uncertainty and delivery run in parallel, it separates learning work from implementation while keeping both connected. It prevents unvalidated ideas from falling directly into the delivery stream. | When delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible. | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | Laufend, Wochen bis Monate | 1-3 h | laufend | Ongoing |
Participantsdifferent | 4-10 | 4-10 | 2-12 | 2-12 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories | Current-state map, Future-state map, Bottleneck list | Throughput Data, Flow Forecast, Slicing Rules | Kanban board, WIP policies, Flow metrics |
Tagsno overlap | AgileDiscoveryDelivery | LeanFlowWasteDelivery | EstimationForecastingFlow | FlowVisual managementDelivery |